Evidence map›Paper›PMID 37580028›Full record

ArticleThe American journal of tropical medicine and hygiene2023

Impacts of the COVID-19 Lockdown on Healthcare Inaccessibility and Unaffordability in Uganda.

Bijetri Bose, Shamma A Alam, Claus C Pörtner

Abstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Bijetri BoseFielding School of Public Health, University of California, Los Angeles, California.
Shamma A AlamDepartment of International Studies, Dickinson College, Carlisle, Pennsylvania.
Claus C PörtnerDepartment of Economics, Seattle University, Seattle, Washington.

Funding

Scientific/Technical CoreP2CHD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI SARA R. CURRAN · 2017 to 2026
$6.3M
NICHD NIH HHS P2C HD042828
6 · The paper itself

Abstract

Several studies have reported adverse consequences of the COVID-19 lockdowns on the utilization of healthcare services across Africa. However, little is known about the channels through which lockdowns impacted healthcare utilization. This study focuses on unaffordability as a reason for not utilizing healthcare services. We estimate the causal impacts of the COVID-19 lockdown on healthcare inaccessibility and affordability in Uganda relative to the nonlockdown periods of the pandemic. We use nationally representative longitudinal household data and a household fixed-effects model to identify the impact of the lockdown on whether households could not access medical treatment and whether the reason for not getting care was the lack of money. We find that the lockdown in Uganda was associated with an 8.4% higher likelihood of respondents being unable to access healthcare when treatment was needed relative to the nonlockdown periods. This implies a 122% increase in the share of respondents unable to access healthcare. As lockdown restrictions eased, the likelihood of being unable to access medical treatment decreased. The main reason for the increase in inaccessibility was the lack of money, with a 71% increase in the likelihood of respondents being unable to afford treatment. We find little evidence that the effects of the lockdown differed by wealth status or area of residence. Our results indicate the need for policymakers to consider immediate social support for households as a strategy for balancing the disruptions caused by lockdowns.

Indexed as

COVID-19Communicable Disease ControlHealth FacilitiesHumansPatient Acceptance of Health CareUganda

Identifiers

PMID37580028
PMCPMC10484254

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.